Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


Preferences help
enabled [disable] Abstract
Number of results
2017 | 132 | 3 | 981-985

Article title

Wing Aerodynamic Optimization by Using Genetic Algoritm and Ansys

Content

Title variants

Languages of publication

EN

Abstracts

EN
The design of aircraft wings can be examined in two ways, namely, by aerodynamic analysis and by structural analysis. In aerodynamic terms, the wing is expected to display such features as maximum lifting load, minimum drag force, and high stall performance; in structural terms, it is desired to be light, robust, and away from vibration effects. In this paper optimization of the wing aerodynamic analysis of a private jet plane has been performed. Wing simulation was conducted with Ansys-Fluent program, whereas optimization of design criteria was realised using genetic algorithm. Design criteria determined in parametric terms have been optimized with genetic algorithm, which was written in Python, inside the Ansys-Workbench. Python was not sufficient on its own for the realization of the genetic algorithm and for control of the Ansys modules, as a result, it was assisted with Javascript and Journaling. The developed method can be used in a variety of design applications.

Keywords

EN

Year

Volume

132

Issue

3

Pages

981-985

Physical description

Dates

published
2017-09

Contributors

author
  • Karabuk University, Mechatronic Engineering Department, Karabuk, Turkey
author
  • Sakarya University, Sakarya M.Y.O. 54187 Sakarya, Turkey

References

  • [1] T. Zhao, Y. Zhang, H. Chen, Y. Chen, M. Zhang, Aerospace Sci. Technol. 56, 168 (2016), doi: 10.1016/j.ast.2016.07.010
  • [2] A. Jameson, S. Kim, AIAA J. 41, 2114 (2003), doi: 10.2514/2.6830
  • [3] A. Jameson, S. Shankaran, L. Martinelli, AIAA J. 46, 1226 (2008), doi: 10.2514/1.25362
  • [4] Y. Zhang, X. Fang, H. Chen, S. Fu, Z. Duan, Y. Zhang, Aerospace Sci. Technol. 43, 152 (2015), doi: 10.1016/j.ast.2015.02.024
  • [5] Y. Zhang, H. Chen, W. Zhang, S. Fu, M. Zhang, M. Zhang, T. Liu, in: 50th AIAA Aerospace Sciences Meeting, 2012, p. 1046, doi: 10.2514/6.2012-1046
  • [6] A.P. Antunes, J.L.F. Azevedo, R.G. Silva, in: 47th AIAA Aerospace Sciences Meeting, 2009, p. 1094, doi: 10.2514/6.2009-1094
  • [7] T. Zhao, Y. Zhang, H. Chen, in: 53rd AIAA Aerospace Sciences Meeting, 2015, p. 0763, doi: 10.2514/6.2015-0763
  • [8] A. Nobakhti, Cogn. Comput. 2, 97 (2010), doi: 10.1007/s12559-010-9039-2
  • [9] J.D. Lee, A. Jameson, in: 47th AIAA Aerospace Sciences Meeting, 2009, p. 897, doi: 10.2514/6.2009-897
  • [10] J.Q. Luo, J.T. Xiong, F. Liu, Phys. Mech. Astron. 57, 1363 (2014), doi: 10.1007/s11433-014-5479-0
  • [11] Y. Zhang, X. Fang, H. Chen, S. Fu, Z. Duan, Y. Zhang, Aerospace Sci. Technol. 43, 152 (2015), doi: 10.1016/j.ast.2015.02.024
  • [12] K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, IEEE Trans. Evolutionary Computat. 6, 182 (2002), doi: 10.1109/4235.996017
  • [13] Y. Zhang, H. Chen, M. Zhang, M. Zhang, T. Liu, W. Zhang, S. Fu, in: 49th AIAA Aerospace Sciences Meeting, 2011, p. 27, doi: 10.2514/6.2011-27
  • [14] T.S.V. Kumar, A.W. Basha, M. Pavithra, V. Srilekha, Int. J. Res. Aeronautical Mech. Eng. 3, 1 (2015)
  • [15] A. Elham, Aerospace Sci. Technol. 41, 241 (2015), doi: 10.1016/j.ast.2014.12.024
  • [16] M.K. Cakir, Ms. Sci. Thesis, Graduate School of Natural and Applied Sciences of Middle East Technical University, 2008
  • [17] Y. Hei, W. Li, M. Li, Z. Qiu, W. Fu, Cogn. Comput. 7, 359 (2015), doi: 10.1007/s12559-014-9297-5

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.bwnjournal-article-app132z3-iip046kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.